In recent years, mRNA technology has demonstrated broad application prospects in vaccine development, protein replacement therapy, and tumor immunotherapy, owing to its flexible sequence design and high expression efficiency. However, overcoming the limitations ofin vivodelivery to achieve effective transport of mRNA drugs to target tissues and cells remains a major challenge for further development. Lipid nanoparticles (LNPs) are currently one of the most widely used mRNA delivery vehicles. Nevertheless, conventional LNP systems still exhibit significant tissue-biased distributionin vivo, particularly facing challenges in delivery efficiency and specificity to extrahepatic tissues such as the lungs. Therefore, developing mRNA delivery systems with tissue-targeting capabilities has become an important research direction in the nucleic acid therapeutics field. Recently, a research team from Peking University published a study inActa Pharmaceutica Sinica B, proposing a Synergistic Targeted Lipid Nanoparticle (SynTar LNP) platform. This platform combines lipid composition optimization with antibody-mediated targeted modification to enhance mRNA delivery efficiency to the lungs, providing a novel technical approach for the treatment of pulmonary diseases and tumor immunotherapy. From Lipid Composition Optimization to Antibody Functionalization: Constructing the SynTar Delivery Platform To improve mRNA delivery to the lungs, the research team first optimized conventional LNP composition based on the selective organ targeting (SORT) strategy through lipid substitution. Using the SM-102 LNP system as the foundation, they replaced DSPC with DOTAP and DMG-PEG with DSPE-PEG-Mal, constructing a four-component lung-targeting LNP system (4C-DOTAP LNP) composed of SM-102, cholesterol, DOTAP, and DSPE-PEG-Mal. The study found that 4C-DOTAP LNP containing 30% DOTAP exhibited superior pulmonary delivery capacity compared to the conventional five-component DOTAP LNP system, with approximately a 2-fold increase in lung fluorescence signal, while maintaining a particle size of around 100 nm and a low polydispersity index (PDI < 0.2), demonstrating good stability. On this basis, the research team utilized the terminal maleimide group of DSPE-PEG-Mal to conjugate anti-CD31 antibodies via thiol-maleimide reaction, providing a linkage foundation for LNP functionalization. Further comparison revealed that Anti LNP constructed with DSPE-PEG-Mal achieved approximately 5.4-fold higher lung-targeting efficiency than the DMG-PEG-Mal system, while reducing non-target tissue expression in the liver and spleen. This may be attributed to the longer C18 hydrophobic chain of DSPE compared to the C14 chain of DMG-PEG-Mal, which enables more stable integration into the LNP lipid layer and helps maintain delivery efficacy after antibody modification. Based on these advantages, the research team further applied anti-CD31 antibody modification to 4C-DOTAP LNP to construct the SynTar ...
View More










